Matplotlib.axes.Axes.get_tightbbox() in Python
Last Updated :
12 Jul, 2025
Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The
Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.
matplotlib.axes.Axes.get_tightbbox() Function
The
Axes.get_tightbbox() function in axes module of matplotlib library is used to return the tight bounding box of the axes, including axis and their decorators.
Syntax: Axes.get_tightbbox(self, renderer, call_axes_locator=True, bbox_extra_artists=None)
Parameters: This method accepts the following parameters.
- renderer : This parameter is the RendererBase instance
renderer that will be used to draw the figures.
- bbox_extra_artists : This parameter is the list of artists to include in the tight bounding box.
- call_axes_locator : This parameter is the list of artists to include in the tight bounding box.
Returns: This method return the bounding box in figure pixel coordinates.
Below examples illustrate the matplotlib.axes.Axes.get_tightbbox() function in matplotlib.axes:
Example 1:
Python3
# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
X = np.arange(-10, 10, 0.5)
Y = np.arange(-10, 10, 0.5)
U, V = np.meshgrid(X, Y)
fig, ax = plt.subplots()
ax.quiver(X, Y, U, V)
ax.invert_xaxis()
w = ax.get_tightbbox(fig.canvas.get_renderer(),
call_axes_locator = True,
bbox_extra_artists = None)
ax.set_title("Value Return :\n"+str(w),
fontsize = 10)
fig.suptitle('matplotlib.axes.Axes.get_tightbbox()\
function Example', fontweight ="bold")
plt.show()
Example 2:
Python3
# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
xx = np.random.rand(16, 30)
fig, ax = plt.subplots()
m = ax.pcolor(xx)
m.set_zorder(-20)
w = ax.get_tightbbox(fig.canvas.get_renderer(),
call_axes_locator = True,
bbox_extra_artists = None)
ax.set_title("Value Return :\n"+str(w),
fontsize = 10)
fig.suptitle('matplotlib.axes.Axes.get_tightbbox()\
function Example', fontweight ="bold")
plt.show()
